Exam 2: Foundations and Technologies for Decision Making
Exam 1: An Overview of Business Intelligence, Analytics, and Decision Support70 Questions
Exam 2: Foundations and Technologies for Decision Making70 Questions
Exam 3: Data Warehousing70 Questions
Exam 4: Business Reporting, Visual Analytics, and Business Performance Management70 Questions
Exam 5: Data Mining70 Questions
Exam 6: Techniques for Predictive Modeling70 Questions
Exam 7: Text Analytics, Text Mining, and Sentiment Analysis70 Questions
Exam 8: Web Analytics, Web Mining, and Social Analytics70 Questions
Exam 9: Model-Based Decision Making: Optimization and Multi-Criteria Systems70 Questions
Exam 10: Modeling and Analysis: Heuristic Search Methods and Simulation70 Questions
Exam 11: Automated Decision Systems and Expert Systems70 Questions
Exam 12: Knowledge Management and Collaborative Systems70 Questions
Exam 13: Big Data and Analytics70 Questions
Exam 14: Business Analytics: Emerging Trends and Future Impacts70 Questions
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Single decision makers rarely face decisions with multiple objectives in organizations and so are not the focus of data analytics tools.
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(True/False)
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Correct Answer:
False
In creating a normative model, a decision maker examines all the alternatives to prove that the one selected is indeed the best, and is what the person would normally want. This process is basically known as ________.
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(Short Answer)
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Correct Answer:
optimization
When an Accounts Payable department improves their information system resulting in faster payments to vendors, without the Accounts Receivable Department doing the same, leading to a cash flow crunch, what can we say happened in decision-theoretic terms?
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(Multiple Choice)
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Correct Answer:
C
What form of decision theory assumes that decision makers are rational beings who always seek to strictly maximize economic goals?
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Generating alternatives manually is often necessary in the model-building process. The best option for the decision makers is to generate as many of these alternatives as is conceivable.
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Business intelligence systems typically support solving a certain problem or evaluate an opportunity, while decision support systems monitor situations and identify problems and/or opportunities, using analytic methods.
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According to Simon (1977), managerial decision making is synonymous with the entire management process. Give a working definition of decision making.
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All of the following statements about risk in decision making are correct EXCEPT
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For DSS, why are semistructured or unstructured decisions the main focus of support?
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A DSS is typically built to support the solution of a certain problem or to evaluate an opportunity. Describe three key characteristics and capabilities of DSS.
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Generally speaking, people intuitively estimate risk quite accurately.
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When a DSS is built, used successfully and integrated into the company's business processes, it was most likely built for a(n)
(Multiple Choice)
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The HP Case illustrates that after analytics are chosen to solve a problem, building a new decision model from scratch or purchasing one may not always be the best approach. Why is that?
(Multiple Choice)
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A scenario is a statement of assumptions about the operating environment of a particular
system at a given time; that is, it is a narrative description of the decision-situation setting. What does a scenario describe, and what may it also provide?
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A DSS application can employ a data management subsystem, a model management subsystem, a user interface subsystem, and a(n) ________.
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The user communicates with and commands the DSS through the ________ subsystem.
(Short Answer)
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Knowledge-based management subsystems provide intelligence to augment the decision maker's own intelligence.
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The software that manages the DSS database and enables relevant data to be accessed by DSS application programs is called
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In the design phase of decision making, selecting a principle of choice or criteria means that
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